Multi-objective simulation optimization through search heuristics and relational database analysis

K. O. Willis*, D. F. Jones

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    16 Citations (Scopus)


    The SimMOp framework for generating solutions to simulation optimization problems containing multiple objectives is presented. The complexity within this subject is the conflicting multiple stochastic outputs whose estimates are only available through simulation. The framework combines a simulation model, a non-exhaustive heuristic search algorithm with an embedded multi-objective optimization technique, and database technologies to generate a set of good quality solutions. The goodness of solutions is measured from a multi-objective and stochastic perspective through analysis after the search phase of the methodology. The methodology has been tested using a discrete-event simulation model based on inventory theory.

    Original languageEnglish
    Pages (from-to)277-286
    Number of pages10
    JournalDecision Support Systems
    Issue number1
    Publication statusPublished - Dec 2008


    • Decision analysis
    • Multi-objective optimization
    • Simulation


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